Ruth King

Cited by

	All	Since 2016
Citations	2980	1489
h-index	28	18
i10-index	51	29

360

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200320042005200620072008200920102011201220132014201520162017201820192020202124 29 31 34 43 61 114 123 83 178 150 306 265 278 273 248 325 357 5

Co-authors

Steve BrooksSelect StatisticsVerified email at select-statistics.co.uk
B.J.T.MorganProfessor of Applied Statistics, University of KentVerified email at kent.ac.uk
Len ThomasUniversity of St AndrewsVerified email at st-andrews.ac.uk
Roland LangrockStatistics and Data Analysis group, Bielefeld UniversityVerified email at uni-bielefeld.de
Sheila M Bird (nee Gore)Professor, biostatisticianVerified email at mrc-bsu.cam.ac.uk
Jason MatthiopoulosProfessor, Spatial and population ecology, IBAHCM, University of GlasgowVerified email at glasgow.ac.uk
Olivier GimenezSenior scientist at CNRSVerified email at cefe.cnrs.fr
S. T. BucklandProfessor of Statistics, University of St AndrewsVerified email at st-andrews.ac.uk
Juan M. Moraleslaboratorio Ecotono, INIBIOMA, Universidad Nacional del ComahueVerified email at conicet.gov.ar
Brett T. McClintockNOAA National Marine Mammal LaboratoryVerified email at noaa.gov
Antony OverstallUniversity of SouthamptonVerified email at soton.ac.uk
Toby PattersonCSIRO Verified email at csiro.au
Simon BonnerUniversity of Western OntarioVerified email at uwo.ca
David BorchersUniversity of St AndrewsVerified email at st-andrews.ac.uk
Robert B. GramacyVirginia TechVerified email at vt.edu
Sophie SmoutSOI St Andrews UniversityVerified email at st-andrews.ac.uk
patrick pomeroyresearch scientist, University of St AndrewsVerified email at st-andrews.ac.uk
Tim CoulsonUniversity of OxfordVerified email at zoo.ox.ac.uk
Richard A. ParkerSenior Statistician, Edinburgh Clinical Trials Unit, University of EdinburghVerified email at ed.ac.uk
Hannah WorthingtonVerified email at st-andrews.ac.uk

Ruth King

Thomas Bayes' Chair of Statistics, University of Edinburgh

Verified email at ed.ac.uk

Statistics


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Flexible and practical modeling of animal telemetry data: hidden Markov models and extensions R Langrock, R King, J Matthiopoulos, L Thomas, D Fortin, JM Morales Ecology 93 (11), 2336-2342, 2012	281	2012
Bayesian Analysis for Population Ecology R King, BJT Morgan, O Gimenez, SP Brooks Chapman & Hall, 2009	265	2009
A general discrete-time modeling framework for animal movement using multistate random walks BT McClintock, R King, L Thomas, J Matthiopoulos, BJ McConnell, ... Ecological Monographs 82 (3), 335-349, 2012	227	2012
Importance tempering R Gramacy, R Samworth, R King Statistics and Computing 20 (1), 1-7, 2010	186	2010
A Bayesian approach to combining animal abundance and demographic data SP Brooks, R King, BJT Morgan Animal Biodiversity and Conservation 27 (1), 515-529, 2004	160	2004
Classical model selection via simulated annealing SP Brooks, N Friel, R King Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2003	107	2003
WinBUGS for population ecologists: Bayesian modeling using Markov Chain Monte Carlo methods O Gimenez, SJ Bonner, R King, RA Parker, SP Brooks, LE Jamieson, ... Modeling demographic processes in marked populations, 883-915, 2009	104	2009
Modelling Population Dynamics: Model Formulation, Fitting and Assessment using State-space Methods KB Newman, ST Buckland, BJT Morgan, R King, DL Borchers, DJ Cole, ... Springer, 2014	92*	2014
Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges TA Patterson, A Parton, R Langrock, PG Blackwell, L Thomas, R King AStA Advances in Statistical Analysis 101 (4), 399-438, 2017	89*	2017
On the Bayesian analysis of population size R King, SP Brooks Biometrika 88 (2), 317-336, 2001	89	2001
Combining individual animal movement and ancillary biotelemetry data to investigate population‐level activity budgets BT McClintock, DJF Russell, J Matthiopoulos, R King Ecology 94 (4), 838-849, 2013	85	2013
Modelling group dynamic animal movement R Langrock, JGC Hopcraft, PG Blackwell, V Goodall, R King, M Niu, ... Methods in Ecology and Evolution 5, 190-199, 2014	79	2014
A review of Bayesian state-space modelling of capture–recapture–recovery data R King	63	2012
Statistical ecology R King Annual Review of Statistics and its Application 1, 401-426, 2014	60	2014
Bayesian model discrimination for multiple strata capture‐recapture data R King, SP Brooks Biometrika 89 (4), 785-806, 2002	60	2002
On the Bayesian estimation of a closed population size in the presence of heterogeneity and model uncertainty R King, SP Brooks Biometrics 64 (3), 816-824, 2008	57	2008
Identifying and diagnosing population declines: a Bayesian assessment of lapwings in the UK R King, SP Brooks, C Mazzetta, SN Freeman, BJT Morgan Journal of the Royal Statistical Society: Series C (Applied Statistics) 57 …, 2008	50	2008
Factors influencing soay sheep survival: a Bayesian analysis R King, SP Brooks, BJT Morgan, T Coulson Biometrics 62 (1), 211-220, 2006	47*	2006
Model selection for integrated recovery/recapture data R King, SP Brooks Biometrics 58 (4), 841-851, 2002	46	2002
Analysing complex capture–recapture data: Incorporating time-varying covariate information R King, SP Brooks, T Coulson Biometrics 64 (4), 1187-1195, 2008	41*	2008

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